code: def to_dict(self):
      return {
          "metric": self.metric_name,
          # "result_type": self.result_type,
          "val": self.result.to_dict(orient="list")
          if self.result_type == TABLE_VALUE
          else self.result,
      }
  
imports: from typing import Dict
  from transformers import EvalPrediction
  from transformers.trainer_utils import PredictionOutput
  import pandas
  import torch
  import numpy
  from typing import Union
  import json
  import logging
label_desc: Use image node_id 3 for calling the EvalResult obj's underlying member method code with example usage: obj.to_dict() and returns: dict